EMEA Webinar

Programming cell fate with combinatorial
CRISPR screens in human iPSCs

 
 
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Human induced pluripotent stem cells (hiPSCs) offer powerful models for human development and disease. Implementing scalable and temporally controlled CRISPR regulation in these cells remains challenging.

In this webinar, we present combinatorial CRISPR perturbations in human iPSCs, resolved at single cell resolution, to engineer and dissect cell-fate transitions and map the transcription factor combinations driving differentiation.

Agenda

From single to combinatorial CRISPRa screens: Mapping transcription factor-driven differentiation in iPSCs, Sejla Salic-Hainzl, bit.bio

Sejla shares how pooled single cell CRISPRa screens in human iPSCs systematically profile transcription factors driving differentiation, and how single and combinatorial perturbations shape emerging cell identities. She discusses why sensitive sgRNA detection is essential for combinatorial screens, and how these datasets support predictive modeling for future cell-type discovery.

Programming human iPSC fate with combinatorial, inducible CRISPRa/i and single cell genomics, Alessandro Bertero, University of Torino

Alessandro introduces CIRI, an isogenic platform for combinatorial inducible CRISPR in hiPSCs enabling coordinated activation and repression of endogenous genes from a shared dCas9 chassis. He shows how simultaneous MYOD1 activation and pluripotency-factor repression improves myogenic forward programming, and how single cell CRISPR screens uncover regulatory combinations that refine differentiation outcomes.

Discover how Flex Apex and the new VIPerturb-seq method make genome-wide, single-cell CRISPR perturbation screens more sensitive, scalable, and affordable — enabling up to a million perturbations with just ~2,000 probes, Stacey Abidayo, 10x Genomics

Key learning objectives
  • Pooled single cell CRISPR screening: Understand how pooled single cell screens identify regulatory combinations that refine differentiation outcomes.
  • Transcription factor mapping: Explore how single and combinatorial transcription factor perturbations shape emerging cell identities.
  • sgRNA detection sensitivity: Learn why accurate guide assignment is essential for interpreting combinatorial screen results.
  • Predictive modeling: See how these datasets support predictive modeling of transcription factor combinations for future cell-type discovery.
Join if you are
  • Working in stem cell biology: Learn how inducible, combinatorial CRISPRa/i can be used to engineer and control cell-fate transitions in hiPSCs.
  • Running CRISPR screens: See how pooled single-cell CRISPR screens are designed and analyzed to map transcription factor networks.
  • Building differentiation protocols: Understand how combinatorial perturbation data can refine and predict differentiation outcomes.



Speakers

Sejla Salic-Hainzl
Sejla Salic-Hainzl

VP of Research and Development
bit.bio

Alessandro Bertero
Alessandro Bertero

Associate Professor in the Department of Molecular Biotechnology and Health Sciences
University of Torino

10x_Headshot_StaceyAbidayo_1200x1200.png
Stacey Abidayo

Staff Product Manager, Single Cell
10x Genomics

Register to watch the recording

Date: July 21, 2026
Time: 3 PM CEST | 2 PM BST